Evidence map›Paper›PMID 40078095›Full record

Observational studyJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2025

Quantifying the sources of discrepancy between total recording time and total sleep time in home sleep apnea testing: insights from home-based polysomnography.

Apostolis Nikolopoulos, Konstantinos Tatsis, Charikleia Tselepi, Agni Sioutkou, Athanasios Kostoulas, Georgios Siopis, Konstantinos Kostikas, Athanasios Konstantinidis

Abstract readObservational Study
In one paragraph

Observational study in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Neuro-Ophthalmological Disorders Associated with Obstructive Sleep Apnoea.International journal of molecular sciences · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Apostolis NikolopoulosSleep Disorders Unit, Department of Respiratory Medicine, University Hospital of Ioannina, Ioannina, Greece.
Konstantinos TatsisSleep Disorders Unit, Department of Respiratory Medicine, University Hospital of Ioannina, Ioannina, Greece.
Charikleia TselepiDepartment of Respiratory Medicine, University Hospital of Ioannina, Ioannina, Greece.
Agni SioutkouDepartment of Respiratory Medicine, University Hospital of Ioannina, Ioannina, Greece.
Athanasios KostoulasSleep Disorders Unit, Department of Respiratory Medicine, University Hospital of Ioannina, Ioannina, Greece.
Georgios SiopisSleep Disorders Unit, Department of Respiratory Medicine, University Hospital of Ioannina, Ioannina, Greece.
Konstantinos KostikasSleep Disorders Unit, Department of Respiratory Medicine, University Hospital of Ioannina, Ioannina, Greece.
Athanasios KonstantinidisSleep Disorders Unit, Department of Respiratory Medicine, University Hospital of Ioannina, Ioannina, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesTo quantify the contribution of sleep onset latency (SOL), wake after sleep onset (WASO), and wake after sleep offset (WASF) to the discrepancy between total recording time (TRT) and total sleep time (TST) in home-based polysomnography (PSG) using patient-activated and deactivated monitoring devices.

methodsThis observational study enrolled patients with a high pretest probability of obstructive sleep apnea who underwent unattended home-based PSG. We measured the duration of SOL, WASO, and WASF to quantify the discrepancy between TRT and TST. TRT was defined as the interval from device activation to deactivation by the patients. SOL represented the time from device activation to the first epoch of any sleep, WASO was the total amount of time spent awake after the sleep onset epoch until the last epoch of any sleep, and WASF was defined as the time from the last epoch of any sleep until the patient-initiated device deactivation. We also assessed differences in the apnea-hypopnea index between home-based PSG and type 3 sleep studies by reanalyzing home-based PSG recordings as simulated type 3 studies after omitting type 2 signals.

resultsA total of 78 patients were included in the study. The mean TRT exceeded the mean TST by 19%, with TRT at 457 ± 78 minutes and TST at 383 ± 68 minutes. The mean difference between TRT and TST was 74 ± 53 minutes, attributed to SOL (30%), WASO (45%), and WASF (25%). There was considerable variability in the difference between TRT and TST among study participants, ranging from as little as 14 minutes to as much as 233 minutes. The mean apnea-hypopnea index in simulated type 3 studies (41 ± 29 events/h) was, on average, 23% lower than the mean apnea-hypopnea index recorded in home-based PSG (53 ± 30 events/h) (

conclusionsThere was significant variability in the gap between TRT and TST among patients at increased risk of obstructive sleep apnea undergoing unattended home-based PSG. WASO was identified as the largest contributor to this discrepancy, with notable contributions from SOL and WASF. Additionally, simulated type 3 studies underestimated the true apnea-hypopnea index compared to type 2 studies. CITATION: Nikolopoulos A, Tatsis K, Tselepi C, et al. Quantifying the sources of discrepancy between total recording time and total sleep time in home sleep apnea testing: insights from home-based polysomnography.

Indexed as

Monitoring, AmbulatoryPolysomnographySleepSleep Apnea, ObstructiveAdultAgedFemaleHumansMaleMiddle AgedSleep DurationTime Factorsapnea-hypopnea indexhome PSGhome sleep apnea testinghome sleep studyHSATTRTTSTtype 2 sleep studytype 3 sleep studyWASF

Identifiers

PMID40078095
PMCPMC12134572

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.